Uttarayan Bagchi

1.2k citations
29 papers · 982 · h-index 16

Impact in

Papers in

Uttarayan Bagchi

29 papers receiving 927 citations

Peers

Uttarayan Bagchi
Comparison fields: 5 of 53
  • Industrial and Manufacturing Engineering 700
  • Management Information Systems 322
  • Computer Networks and Communications 307
  • Management Science and Operations Research 110
  • Statistics, Probability and Uncertainty 57
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Citations per field
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Citations per year

Countries citing papers authored by Uttarayan Bagchi

Since Specialization
Citations

This map shows the geographic impact of Uttarayan Bagchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Uttarayan Bagchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uttarayan Bagchi more than expected).

Fields of papers citing papers by Uttarayan Bagchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uttarayan Bagchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Uttarayan Bagchi. The network helps show where Uttarayan Bagchi may publish in the future.

Co-authors

The 16 scholars most cited alongside Uttarayan Bagchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Uttarayan Bagchi Line = papers co-authored together Uttarayan Bagchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989140
2 1986138
3 1987113
4 198787
5 198661
6 200555
7 200846
8 198445
9 198542
10 199038
11 199228
12 198321
13 198521
14 199020
15 198317
16 198716
17 198714
18 199413
19 199213
20
2010 7th International Conference on Service Systems and Service Management, Proceedings of ICSSSM' 10
201012

About Uttarayan Bagchi

Uttarayan Bagchi is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering, Computer Networks and Communications, Management Science and Operations Research and Marketing, having authored 29 papers that have together received 982 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (12 papers), Advanced Queuing Theory Analysis (10 papers), Supply Chain and Inventory Management (10 papers), Advanced Manufacturing and Logistics Optimization (9 papers), Optimization and Search Problems (6 papers), Optimization and Packing Problems (3 papers), Assembly Line Balancing Optimization (3 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (700 citations), Management Information Systems (322 citations), Computer Networks and Communications (307 citations), Management Science and Operations Research (110 citations) and Statistics, Probability and Uncertainty (57 citations). Uttarayan Bagchi has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robert S. Sullivan, Yih‐Long Chang, Jack C. Hayya, Yu-Tai Chang, Reza Ahmadi, J. Keith Ord, Reza Ahmadi, Chao‐Hsien Chu, Thomas Roemer and Genaro Gutierrez. Their work appears in journals such as Naval Research Logistics (NRL), Operations Research, Decision Sciences, International Journal of Production Economics and Management Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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